Download or read book Cell Phone Location Data for Travel Behavior Analysis written by Cambridge Systematics and published by . This book was released on 2018 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Travel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data written by Fei Yang and published by Springer Nature. This book was released on 2022-03-19 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the technology and methodology of individual travel behavior analysis and refined travel information extraction. Traditional resident trip surveys are characterized by many shortcomings, such as subjective memory errors, difficulty in organization and high cost. Therefore, in this book, a set of refined extraction and analysis techniques for individual travel activities is proposed. It provides a solid foundation for the optimization and reconstruction of traffic theoretical models, urban traffic planning, management and decision-making. This book helps traffic engineering researchers, traffic engineering technicians and traffic industry managers understand the difficulties and challenges faced by transportation big data. Additionally, it helps them adapt to changes in traffic demand and the technological environment to achieve theoretical innovation and technological reform.

Download or read book Cell Phone Location Data for Travel Behavior Analysis written by Lauren P. Alexander and published by . This book was released on 2015 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile phone technology generates vast amounts of data at low costs all over the world. This rich data provides digital traces when and where individuals travel, improving our ability to understand, model, and predict human mobility. Especially in this era of rapid urbanization, mobile phone data presents exciting new opportunities to plan transportation infrastructure and services that meet the mobility needs and challenges associated with increasing travel demand. But to realize these benefits, methods must be developed to utilize and integrate this data into existing urban and transportation modeling frameworks. In this thesis, we draw on techniques from the transportation engineering and urban computing communities to estimate travel demand and infrastructure usage. The methods we present utilize call detail records (CDRs) from mobile phones in conjunction with geospatial data, census records, and surveys, to generate representative origin-destination matrices, route trips through road networks, and evaluate traffic congestion. Moreover, we implement these algorithms in a flexible, modular, and computationally efficient software system. This platform provides an end-to-end solution that integrates raw, massive data to generate estimates of travel demand and infrastructure performance in any city, and produces interactive visualizations to effectively communicate these results. Finally, we demonstrate an application of these data and methods to evaluate the impact of ride-sharing on urban traffic. Using these approaches, we generate travel demand estimates analogous to many of the outputs of conventional travel demand models, demonstrating the potential of mobile phone data as a low cost option for transportation planning. We hope this work will serve as unified and comprehensive guide to integrating new big data resources into transportation modeling practices.

Download or read book Cell Phone Data and Travel Behavior Research written by Gregory Bucci and published by . This book was released on 2014 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report summarizes the key themes from a symposium held on February 12, 2014, to discuss opportunities and challenges using cellular location data for national travel behavior analysis. Participants discussed the availability of cellular data and the common types of licensing agreements; applications of cellular data and how it can be leveraged; fusion of cellular data in terms of merging it with other data sources; and validation of cellular data to determine accurate and meaningful results. Particular focal points included applications and limitations of land-use models and data, and using surveys in conjunction with cellular location data to facilitate accuracy and precision.

Download or read book Cell Phone Data and Travel Behavior Research written by Gregory Bucci and published by . This book was released on 2014 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Abstract: This report summarizes the key themes from a symposium held on February 12, 2014, to discuss opportunities and challenges using cellular location data for national travel behavior analysis. Participants discussed the availability of cellular data and the common types of licensing agreements; applications of cellular data and how it can be leveraged; fusion of cellular data in terms of merging it with other data sources; and validation of cellular data to determine accurate and meaningful results. Particular focal points included applications and limitations of land-use models and data, and using surveys in conjunction with cellular location data to facilitate accuracy and precision."--Technical report documentation page.

Download or read book Applying GPS Data to Understand Travel Behavior written by Jean Louise Wolf and published by . This book was released on 2014 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: "TRB's National Cooperative Highway Research Program (NCHRP) Report 775: Applying GPS Data to Understand Travel Behavior, Volume I: Background, Methods, and Tests describes the research process that was used to develop guidelines on the use of multiple sources of Global Positioning System (GPS) data to understand travel behavior and activity. The guidelines, which are included in NCHRP Report 775, Volume II are intended to provide a jump-start for processing GPS data for travel behavior purposes and provide key information elements that practitioners should consider when using GPS data." -- Publisher's note.

Download or read book Mobile Technologies for Activity Travel Data Collection and Analysis written by Rasouli, Soora and published by IGI Global. This book was released on 2014-06-30 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book concentrates on one particular and fast-growing application of mobile technologies: data acquisition for the tourism industry, providing travel agents, visitors, and hosts with the most advanced data mining methods, empirical research findings, and computational analysis techniques necessary to compete effectively in the global tourism industry"--Provided by publisher.

Download or read book Traveler Satisfaction Surveys Meet Mobile Phone and Vehicle Tracking written by André Laurent Carrel and published by . This book was released on 2015 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smartphones are becoming an increasingly interesting survey medium for behavioral research due to their value for collecting long-term panel observations and supplementary data on the choice environment. Thanks to the sensor data, it becomes possible to survey participants based on whether or not a certain activity has been carried out. By fusing the phone-generated sensor data and survey responses with data from outside sources, substantial data sets can be generated which can be used to investigate choices in complex environments. Computational systems for behavior research take advantage of automation and scalability opportunities, thereby building also on pertinent bodies of literature regarding machine learning on large data sets and crowdsourcing. The importance of comprehensive, long-term data sets in understanding behavior has been highlighted in the choice theory literature, specifically with respect to capturing an individual decision-maker’s history of choices and personal experiences with those choices. To date, however, relatively few studies have capitalized on emerging technologies to create or analyze such data sets. Rich data sets which combine panel information on the decision-maker with information on the choice environment can support the study of dynamic phenomena, which is especially important in a rapidly changing world where behavioral adaptation can take place on a relatively small time scale and, once habits are formed, have long-lasting effects. Some examples of pressing questions in the field of transportation involve understanding how travelers are responding to the emerging sharing economy, to new ride sharing services and new information systems, how time use and travel patterns will change due to automated vehicles, and how more sustainable travel behavior can be promoted through incentive or pricing strategies. This dissertation aims to support the adoption of smartphone-based survey technology in travel behavior research in order to lay the groundwork for research aimed at answering the above questions. It describes the design and implementation of a smartphone-based study, presents a system for fusing smartphone data with externally acquired data, and demonstrates how these ample data sets can be leveraged to generate new behavioral insights. The problem chosen for study is the link between transit service quality, rider satisfaction and ridership retention on public transit. This is motivated by the fact that many transit agencies in the United States continue to see large rates of ridership turnover, and that to date, very little is known about what drives transit use cessation. The six-week San Francisco Travel Quality Study (SFTQS) was conducted in autumn 2013. It collected a data set that included high-resolution phone locations, a number of daily mobile surveys on specific trip experiences, responses to online entry and exit surveys, and transit vehicle locations. By fusing the phone location data with transit vehicle locations, individual-level automatic transit travel diaries could be created without the need to ask participants. The reduced respondent burden, in turn, facilitated a longer term data collection. Initial recruitment proved to be challenging, with response rates to some of the email and direct mailing lists around 1%, and response rates to in-person recruiting between 8 and 15%. On the other hand, attrition was lower than expected, considering the length of the study: The initial enrollment was 856 participants, of which 555 (65%) participants completed all required surveys and 637 (74%) completed the entry and exit survey as well as at least one daily mobile survey. Interestingly, 36% of participants later stated they would have preferred to fill out mobile surveys more frequently (e.g., one per trip rather than one per day) than what was required in the study. A central part of the computational infrastructure used to collect the data was the system of integrated methods to reconstruct and track travelers’ usage of transit at a detailed level by matching location data from smartphones to automatic transit vehicle location (AVL) data and by identifying all out-of-vehicle and in-vehicle portions of the passengers’ trips. This system is presented in detail in this dissertation, where it is shown how high-resolution travel times and their relationships with the timetable are derived. Approaches are presented for processing relatively sparse smartphone location data in dense transit networks with many overlapping bus routes, distinguishing waits and transfers from non-travel related activities, and tracking underground travel in a metro network. While transit agencies have increasingly adopted systems for collecting data on passengers and vehicles, the ability to derive high-resolution passenger trajectories and directly associate them with vehicles has remained a challenge. The system presented in this dissertation is intended to remedy this situation, and it enables a range of different analyses and applications. Results are presented from an implementation and deployment of the system during the SFTQS. An analysis of out-of-vehicle travel times shows that (a) longer overall travel times in trips involving a transfer are strongly driven by transfer times, and (b) median wait times at the origin stops are consistently low regardless of the headway. The latter can be seen as an effect of real-time information, as it appears that wait times are increasingly spent at locations other than the stop and that passengers time their arrivals at the stop. Given these shifts, the traditional assumption that the average wait time at a transit stop of a high-frequency route is half the headway due to random arrivals may need to be revisited. This dissertation presents two applications to derive new behavioral insights from the SFTQS data set and to demonstrate the power and value of these new types of data. The analyses were based on participants’ individual history of transit usage and experiences with service quality. The first analysis used the data from the daily mobile surveys to model the link between participants' reported satisfaction with travel times on specific trips (i.e., their subjective assessment) and objective measures of those travel times. Thanks to the tracking data, it was possible to decompose observed travel times into their in-vehicle and out-of-vehicle components, and to compare the observed in-vehicle travel times to scheduled in-vehicle travel times to identify delays suffered while the participant was on board. The estimation results show that on average, a minute of delay on board a vehicle contributed more to passenger dissatisfaction than a minute of waiting time either at the origin stop or at a transfer stop, and that delays on board metro trains are perceived as more onerous than delays on board buses. Furthermore, the models included participants' baseline satisfaction levels as reported in the entry survey and a daily measure of their subjective well-being. Both variables are relatively new elements in travel surveys, and both are seen to be significant in the estimation results. These results indicate that satisfaction with travel times may be composed of a baseline satisfaction level and a variable component that depends on daily experiences, and that there may be non-negligible interactions between subjective well-being and travel satisfaction. Therefore, it is recommended that future survey designs should include measures for both these variables. The second application builds on the results of the first to empirically investigate the causes for cessation of transit use, with a specific focus on the influence of personal experiences that users have had in the past, on resulting levels of satisfaction, and subsequent behavioral intentions. A latent variable choice model is developed to explain the influence of satisfaction with travel times, including wait times at the origin stop, in-vehicle travel times, transfer times and overall reliability, and satisfaction with the travel environment on behavioral intentions. The group of variables summarized as ``travel environment'' includes crowding, cleanliness, the pleasantness of other passengers, and safety. Satisfaction is modeled as a latent variable, and the choice consists of participants’ stated desire and intention to continue using public transportation in the future. In addition to the delay types captured in the first analysis, a set of negative critical incidents is included, namely being left behind at stops and arriving late to work, school or a leisure activity. The results of the model and descriptive analysis show that operational problems resulting in delays and crowding are much stronger drivers of overall dissatisfaction and cessation than variables related to the travel environment. The importance of baseline satisfaction, mood and the relatively larger impact of in-vehicle delays are confirmed by this model. Thanks to the framework, the critical incidents can be expressed in terms of equivalent delay minutes. For instance, being left behind at a bus stop is found to cause the same amount of dissatisfaction as approximately 18 minutes of wait time. Furthermore, the effect of delays or incidents on ridership can be quantified, as is demonstrated in a set of simulations using the San Francisco transit network (Muni) as a basis. It is shown that if all passengers were subjected to one hypothetical on-board delay of 10 minutes per person, the resulting loss of riders would account for approximately 9.5% of Muni's yearly ridership turnover. In summary, the contributions and impact of this dissertation are as follows: It presents a framework and system that allows the.

Download or read book Suitability of GPS Based Data Collection Methods for Travel Behavior Analysis written by Lalit Yalamanchili and published by . This book was released on 1999 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Understanding Activity Location Choice with Mobile Phone Data written by Menglin Wang and published by . This book was released on 2014 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on the variability in travel behavior, i.e. how individuals repeat or change their travel behavior over time, has a long history. An understanding of variability not only facilitates behavior modeling efforts but also provides insights into the complex factors underpinning people's travel behaviors. Previous studies of behavioral variability have mostly concentrated on non-spatial aspects. This dissertation contributes to the existing literature by examining the spatial variability of activity location choices. Activity locations are a set of spatially dispersed places where individuals perform activities. They play a critical role in structuring human travels, as individuals' demand for travelling in space is derived from the demand for activity participation. Specifically, two research questions are of interest: 1) how is location variability affected by time-of-day? 2) how can the knowledge of location variability be used to inform the development of location prediction models? Analyses are performed with a mobile phone data set consisting of the traces of 120,435 individuals over two months. Significant time-of-day dependence of location variability is identified. Time-of-day effect is found to take account for 36% of the total variations in location variability. The results emphasize the importance of time-of-day in shaping one's location choice behavior and provide a basis for future modeling efforts on location variability. Location variability is found to be an instrumental indicator of the amount of input information required for location prediction. Specifically, given 100 historical (not necessarily unique) locations, an accuracy level marginally over 80% can be achieved for people with low location variability. In contrast, for those individuals with a high level of location variability, prediction accuracy can hardly reach 50% with 100 historical locations. This finding has significant implications on making more efficient location predictions. It will allow us to customize the amount of information input in location prediction for subpopulations differing in location variability by removing redundant information. Being able to discard some data without compromising model prediction accuracy is one way to deal with an overwhelming amount of data.

Download or read book Urban Informatics Using Mobile Network Data written by Santi Phithakkitnukoon and published by Springer Nature. This book was released on 2022-11-29 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the role of mobile network data in urban informatics, particularly how mobile network data is utilized in the mobility context, where approaches, models, and systems are developed for understanding travel behavior. The objectives of this book are thus to evaluate the extent to which mobile network data reflects travel behavior and to develop guidelines on how to best use such data to understand and model travel behavior. To achieve these objectives, the book attempts to evaluate the strengths and weaknesses of this data source for urban informatics and its applicability to the development and implementation of travel behavior models through a series of the authors’ research studies. Traditionally, survey-based information is used as an input for travel demand models that predict future travel behavior and transportation needs. A survey-based approach is however costly and time-consuming, and hence its information can be dated and limited to a particular region. Mobile network data thus emerges as a promising alternative data source that is massive in both cross-sectional and longitudinal perspectives, and one that provides both broader geographic coverage of travelers and longer-term travel behavior observation. The two most common types of travel demand model that have played an essential role in managing and planning for transportation systems are four-step models and activity-based models. The book’s chapters are structured on the basis of these travel demand models in order to provide researchers and practitioners with an understanding of urban informatics and the important role that mobile network data plays in advancing the state of the art from the perspectives of travel behavior research.

Download or read book Urban Informatics written by Wenzhong Shi and published by Springer Nature. This book was released on 2021-04-06 with total page 941 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.

Download or read book Forecasting Travel in Urban America written by Konstantinos Chatzis and published by MIT Press. This book was released on 2023-07-11 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: A history of urban travel demand modeling (UTDM) and its enormous influence on American life from the 1920s to the present. For better and worse, the automobile has been an integral part of the American way of life for decades. Its ascendance would have been far less spectacular, however, had engineers and planners not devised urban travel demand modeling (UTDM). This book tells the story of this irreplaceable engineering tool that has helped cities accommodate continuous rise in traffic from the 1950s on. Beginning with UTDM’s origins as a method to help plan new infrastructure, Konstantinos Chatzis follows its trajectory through new generations of models that helped make optimal use of existing capacity and examines related policy instruments, including the recent use of intelligent transportation systems. Chatzis investigates these models as evolving entities involving humans and nonhumans that were shaped through a specific production process. In surveying the various generations of UTDM, he delves into various means of production (from tabulating machines to software packages) and travel survey methods (from personal interviews to GPS tracking devices and smartphones) used to obtain critical information. He also looks at the individuals who have collectively built a distinct UTDM social world by displaying specialized knowledge, developing specific skills, and performing various tasks and functions, and by communicating, interacting, and even competing with one another. Original and refreshingly accessible, Forecasting Travel in Urban America offers the first detailed history behind the thinkers and processes that impact the lives of millions of city dwellers every day.

Download or read book Expanding Sphere of Travel Behaviour Research written by Ryuichi Kitamura and published by Emerald Group Publishing. This book was released on 2009-10-01 with total page 955 pages. Available in PDF, EPUB and Kindle. Book excerpt: Suitable for researchers, and graduate students in the field of transportation and urban planning in general, and in travel behaviour analysis in particular, this volume of the 11th International Conference on Travel Behaviour Research, held in Kyoto, Japan, in August 2006, examines key issues and emerging trends in the field of travel behaviour.

Download or read book The Evolving Impacts of ICT on Activities and Travel Behavior written by and published by Academic Press. This book was released on 2019-09-10 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Evolving Impacts of ICT on Activities and Travel Behavior, Volume Three in the Advances in Transport Policy and Planning series, assesses both successful and unsuccessful practices and policies from around the world on the topic. This new volume highlights ICT as a Resilient Travel Behavior Alternative; The Past, Present and Future of Travel Time Use; The Intersection of Transportation and Telecommunications in Demand Forecasting and Traffic Management; International Journey Planning System to Welcoming MaaS; An Empirical Analysis of the Relationship Between Mobile Internet Usage and Activity-Travel Behavior; Travel Time Perception and Time Use in an Era of Automated Driving, and more. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Advances in Transport Policy and Planning series Updated release includes the latest information on the evolving impact of ICT on activities and travel behavior

Download or read book Engineering and Applied Sciences Optimization written by Nikos D. Lagaros and published by Springer. This book was released on 2015-05-22 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: The chapters which appear in this volume are selected studies presented at the First International Conference on Engineering and Applied Sciences Optimization (OPT-i), Kos, Greece, 4-6 June 2014 and works written by friends, former colleagues and students of the late Professor M. G. Karlaftis; all in the area of optimization that he loved and published so much in himself. The subject areas represented here range from structural optimization, logistics, transportation, traffic and telecommunication networks to operational research, metaheuristics, multidisciplinary and multiphysics design optimization, etc. This volume is dedicated to the life and the memory of Professor Matthew G. Karlaftis, who passed away a few hours before he was to give the opening speech at OPT-i. All contributions reflect the warmth and genuine friendship which he enjoyed from his associates and show how much his scientific contribution has been appreciated. He will be greatly missed and it is hoped that this volume will be received as a suitable memorial to his life and achievements.

Download or read book Multiday GPS Travel Behavior Data for Travel Analysis written by Jennifer Dill and published by . This book was released on 2015 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: